code: def test_longest_shape(self, input_param, expected_shape):
      input_data = {
          "img": np.random.randint(0, 2, size=[3, 4, 7, 10]),
          "label": np.random.randint(0, 2, size=[3, 4, 7, 10]),
      }
      input_param["size_mode"] = "longest"
      rescaler = Resized(**input_param)
      result = rescaler(input_data)
      for k in rescaler.keys:
          np.testing.assert_allclose(
              result[k].shape[1:], expected_shape
          )
      set_track_meta(False)
      result = Resized(**input_param)(input_data)
      self.assertNotIsInstance(result["img"], MetaTensor)
      np.testing.assert_allclose(
          result["img"].shape[1:], expected_shape
      )
      set_track_meta(True)
  
file_path: MONAI/tests/test_resized.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import skimage.transform
  import torch
  from parameterized import parameterized
  from monai.data import MetaTensor, set_track_meta
  from monai.transforms import Invertd, Resize, Resized
  from tests.lazy_transforms_utils import test_resampler_lazy
  from tests.utils import TEST_NDARRAYS_ALL, NumpyImageTestCase2D, assert_allclose, test_local_inversion
label_desc: Use image node_id 4 for calling the TestResized obj's underlying member method code with example usage: obj.test_longest_shape(input_param, expected_shape) without return types